scholarly journals Application of mathematical programming for optimal programming of Vietnamese fishing fleet

2020 ◽  
Vol 2 (4) ◽  
pp. 213-222
Author(s):  
Tran Gia Thai
Keyword(s):  
Mathematical Programming ◽  
Programming Model ◽  
Fishing Ground ◽  
Optimal Size ◽  
Small Power ◽  
Fishing Fleet ◽  
Fishing Boat ◽  
Optimal Programming ◽  
Set Up ◽  
And Control

The Vietnamese fishing fleet has been developing spontaneously without programming and control. It has bring about detrimental effect on the operate of fishing fleet, especially with a serious impact on the resources. The programming of the fishing fleet, that has been set up by the our fisheries authority, but so far there is no satisfactory solution for the complexity of the problem. In this paper, we present the research results of the application of mathematical programming to build a mathematical model, algorithms and programming to solve the programing problem for Vietnamese fishing fleet. This is base to determine optimal size and distribution of specific fishing fleet to achieve the highest profit with the economic, technical and fishing ground constrains with the aim of ensuring the fishing sustainable development. This research have been applied to learn the concrete conclusions regarding optimal size and dítribution under power, fishing gear and ground of fishing fleet in Ninh Thuan province. The results show that the mathematical programming model has been well suited to the reality. It is required to decrease the size of small power fishing boat fleet that exploits in coastal areas and increse the size of high power fishing boat fleet that exploits in offshore areas.

Digital Mining Control Management System in an Open Pit Based on GIS/GPS/GPRS

2011 ◽  
Vol 467-469 ◽  
pp. 207-211
Author(s):  
Shi Gun Jing ◽  
Fa Ben Li ◽  
Xin Ma
Keyword(s):  
Global Positioning System ◽  
Management System ◽  
Programming Model ◽  
Open Pit ◽  
General Packet Radio Service ◽  
Global Positioning ◽  
Set Up ◽  
And Control ◽  
Control Management System ◽  
Control Management

Using GIS(Geographic Information System), GPS(Global Positioning System), and GPRS(General Packet Radio Service), an digital mining control management system in an open pit has been designed and developed. A linear programming model is set up in a practical application. By the model, the system can automatically draw up production plan of ore blending well every day. The system can monitor and dispatch open-pit trucks and shovels well, and can play back their historical paths. It can monitor and control the process of mining production in real time. The system can also count the number of trucks’ delivery and shovels’ loading automatically. Experiments on real scenes show that the performance of this system is stable and can satisfy production standards of ore blending in open pits.

Intelligent Control Mining Management System in an Open Pit Based on GIS/GPS/GPRS/RFID

2011 ◽  
Vol 50-51 ◽  
pp. 663-668 ◽  
Author(s):  
Qing Hua Gu ◽  
Cai Wu Lu ◽  
Shi Gun Jing ◽  
Xin Ma
Keyword(s):  
Intelligent Control ◽  
Radio Frequency Identification ◽  
Management System ◽  
Programming Model ◽  
Open Pit ◽  
General Packet Radio Service ◽  
Global Positioning ◽  
Frequency Identification ◽  
Set Up ◽  
And Control

Using GIS(Geographic Information System), GPS(Global Positioning System), GPRS(General Packet Radio Service) and RFID(Radio Frequency Identification), an intelligent control mining management system in an open pit has been designed and developed. A linear programming model is set up in a practical application. By the model, the system can automatically draw up production plan of ore blending well every day. The system can monitor and dispatch open-pit trucks and shovels well, and can play back their historical paths. It can monitor and control the process of mining production in real time. By RFID, The system can also count the number of trucks’ delivery and shovels’ loading automatically. Experiments on real scenes show that the performance of this system is stable and can satisfy production standards of ore blending in open pits.

scholarly journals Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2072 ◽  
Author(s):  
Wen-Hsien Tsai
Keyword(s):  
Mathematical Programming ◽  
Textile Industry ◽  
Industry 4.0 ◽  
Programming Model ◽  
Environmental Issues ◽  
Mathematical Programming Model ◽  
Waste Reuse ◽  
Planning And Control ◽  
Green Production ◽  
And Control

The textile industry is one of the world’s major sources of industrial pollution, and related environmental issues are becoming an ever greater concern. This paper considers the environmental issues of carbon emissions, energy recycling, and waste reuse, and uses a mathematical programming model with Activity-Based Costing (ABC) and the Theory of Constraints (TOC) to achieve profit maximization. This paper discusses the combination of mathematical programming and Industry 4.0 techniques to achieve the purpose of green production planning and control for the textile industry in the new era. The mathematical programming model is used to determine the optimal product mix under various production constraints, while Industry 4.0 techniques are used to control the production progress to achieve the planning targets. With the help of an Industry 4.0 real-time sensor and detection system, it can achieve the purposes of recycling waste, reducing carbon emission, saving energy and cost, and finally achieving a maximization of profit. The main contributions of this research are using mathematical programming approach to formulate the decision model with ABC cost data and TOC constraints for the textile companies and clarifying the relation between mathematical programming models and Industry 4.0 techniques. Managers in the textile companies can apply this decision model to achieve the optimal product-mix under various constraints and to evaluate the effect on profit of carbon emissions, energy recycling, waste reuse, and material quantity discount.

Pittenweem Priory and the conventuality question

2017 ◽  
Vol 68 (1) ◽  
pp. 19-37 ◽  
Author(s):  
Anthony Lodge
Keyword(s):  
Fifteenth Century ◽  
Traditional View ◽  
Archaeological Evidence ◽  
Significant Development ◽  
New Mother ◽  
Set Up ◽  
And Control

Pittenweem Priory began life as the caput manor of a daughter-house established on May Island by Cluniac monks from Reading (c. 1140). After its sale to St Andrews (c. 1280), the priory transferred ashore. While retaining its traditional name, the ‘Priory of May (alias Pittenweem)’ was subsumed within the Augustinian priory of St Andrews. Its prior was elected from among the canons of the new mother house, but it was many decades before a resident community of canons was set up in Pittenweem. The traditional view, based principally on the ‘non-conventual’ status of the priory reiterated in fifteenth-century documents, is that there was ‘no resident community’ before the priorship of Andrew Forman (1495–1515). Archaeological evidence in Pittenweem, however, indicates that James Kennedy had embarked on significant development of the priory fifty years earlier. This suggests that, when the term ‘non-conventual’ is used in documents emanating from Kennedy's successors (Graham and Scheves), we should interpret it more as an assertion of superiority and control than as a description of realities in the priory.

scholarly journals Infection Prevention Considerations for a Multi-Mission Convention Center Field Hospital in Baltimore, Maryland during the COVID-19 Pandemic

2021 ◽  
pp. 1-21
Author(s):  
Jennifer A. Jones ◽  
Zishan K. Siddiqui ◽  
Charles Callahan ◽  
Surbhi Leekha ◽  
Sharon Smyth ◽  
...  
Keyword(s):  
Best Practices ◽  
Infection Prevention ◽  
Diagnostic Testing ◽  
The United States ◽  
Infection Prevention And Control ◽  
Field Hospital ◽  
First Case ◽  
Convention Center ◽  
Set Up ◽  
And Control

Abstract The state of Maryland identified its first case of COVID-19 on March 5, 2020. The Baltimore Convention Center (BCCFH) quickly became a selected location to set up a 250-bed inpatient Field Hospital and Alternate Care Site. In contrast to other field hospitals throughout the United States, the BCCFH remained open throughout the pandemic and took on additional COVID-19 missions, including community SARS-CoV-2 diagnostic testing, monoclonal antibody infusions for COVID-19 outpatients, and community COVID-19 vaccinations. At the time of publication, the BCCFH had cared for 1,478 COVID-19 inpatients, performed 108,155 COVID-19 tests, infused 2,166 COVID-19 patients, and administered 115,169 doses of COVID-19 vaccine. To prevent the spread of pathogens during operations, infection prevention and control guidelines were essential to ensure the safety of staff and patients. Through multi-agency collaboration, utilization of infection prevention best practices, and answering what we describe as “PPE-ESP”, an operational framework was established to reduce infection risks for those providing or receiving care at the BCCFH during the COVID-19 pandemic.

scholarly journals Real time surveillance of COVID-19 space and time clusters during the summer 2020 in Spain

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicolás Rosillo ◽  
Javier Del-Águila-Mejía ◽  
Ayelén Rojas-Benedicto ◽  
María Guerrero-Vadillo ◽  
Marina Peñuelas ◽  
...  
Keyword(s):  
Real Time ◽  
Scan Statistic ◽  
Cluster Aggregation ◽  
Space And Time ◽  
Spatial Trends ◽  
Community Transmission ◽  
Low Incidence ◽  
Set Up ◽  
And Control ◽  
Time Scan

Abstract Background On June 21st de-escalation measures and state-of-alarm ended in Spain after the COVID-19 first wave. New surveillance and control strategy was set up to detect emerging outbreaks. Aim To detect and describe the evolution of COVID-19 clusters and cases during the 2020 summer in Spain. Methods A near-real time surveillance system to detect active clusters of COVID-19 was developed based on Kulldorf’s prospective space-time scan statistic (STSS) to detect daily emerging active clusters. Results Analyses were performed daily during the summer 2020 (June 21st – August 31st) in Spain, showing an increase of active clusters and municipalities affected. Spread happened in the study period from a few, low-cases, regional-located clusters in June to a nationwide distribution of bigger clusters encompassing a higher average number of municipalities and total cases by end-August. Conclusion STSS-based surveillance of COVID-19 can be of utility in a low-incidence scenario to help tackle emerging outbreaks that could potentially drive a widespread transmission. If that happens, spatial trends and disease distribution can be followed with this method. Finally, cluster aggregation in space and time, as observed in our results, could suggest the occurrence of community transmission.

scholarly journals Development of an Exercise Training Protocol to Investigate Arteriogenesis in a Murine Model of Peripheral Artery Disease

2019 ◽  
Vol 20 (16) ◽  
pp. 3956 ◽  
Author(s):  
Ayko Bresler ◽  
Johanna Vogel ◽  
Daniel Niederer ◽  
Daphne Gray ◽  
Thomas Schmitz-Rixen ◽  
...  
Keyword(s):  
Peripheral Artery Disease ◽  
Suitable Model ◽  
Peripheral Artery ◽  
Running Wheel ◽  
Limb Perfusion ◽  
Collateral Growth ◽  
Artery Disease ◽  
Set Up ◽  
Exercise Induced ◽  
And Control

Exercise is a treatment option in peripheral artery disease (PAD) patients to improve their clinical trajectory, at least in part induced by collateral growth. The ligation of the femoral artery (FAL) in mice is an established model to induce arteriogenesis. We intended to develop an animal model to stimulate collateral growth in mice through exercise. The training intensity assessment consisted of comparing two different training regimens in C57BL/6 mice, a treadmill implementing forced exercise and a free-to-access voluntary running wheel. The mice in the latter group covered a much greater distance than the former pre- and postoperatively. C57BL/6 mice and hypercholesterolemic ApoE-deficient (ApoE−/−) mice were subjected to FAL and had either access to a running wheel or were kept in motion-restricting cages (control) and hind limb perfusion was measured pre- and postoperatively at various times. Perfusion recovery in C57BL/6 mice was similar between the groups. In contrast, ApoE−/− mice showed significant differences between training and control 7 d postoperatively with a significant increase in pericollateral macrophages while the collateral diameter did not differ between training and control groups 21 d after surgery. ApoE−/− mice with running wheel training is a suitable model to simulate exercise induced collateral growth in PAD. This experimental set-up may provide a model for investigating molecular training effects.

scholarly journals Green Activity-Based Costing Production Decision Model for Recycled Paper

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2413 ◽  
Author(s):  
Chu-Lun Hsieh ◽  
Wen-Hsien Tsai ◽  
Yao-Chung Chang
Keyword(s):  
Mathematical Programming ◽  
Programming Model ◽  
Paper Industry ◽  
Labor Cost ◽  
Production Model ◽  
Theory Of Constraints ◽  
Carbon Equivalent ◽  
Activity Based Costing ◽  
Recycled Paper ◽  
Green Production

Using mathematical programming with activity-based costing (ABC) and based on the theory of constraints (TOC), this study proposed a green production model for the traditional paper industry to achieve the purpose of energy saving and carbon emission reduction. The mathematical programming model presented in this paper considers (1) revenue of main products and byproducts, (2) unit-level, batch-level, and product-level activity costs in ABC, (3) labor cost with overtime available, (4) machine cost with capacity expansion, (5) saved electric power and steam costs by using the coal as the main fuel in conjunction with Refuse Derived Fuel (RDF). This model also considers the constraint of the quantity of carbon equivalent of various gases that are allowed to be emitted from the mill paper-making process to conform to the environmental protection policy. A numerical example is used to demonstrate how to apply the model presented in this paper. In addition, sensitivity analysis on the key parameters of the model are used to provide further insights for this research.

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